Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning.
Matthias BroechelerLise GetoorPublished in: NIPS (2010)
Keyphrases
- statistical relational learning
- markov networks
- marginal distributions
- graphical models
- random variables
- markov logic networks
- collective classification
- joint distribution
- probability distribution
- bayesian networks
- relational data
- inductive logic programming
- relational learning
- maximum likelihood
- probabilistic graphical models
- maximum margin
- first order logic
- belief propagation
- probabilistic model
- bayesian inference
- relational dependency networks
- conditional random fields
- conditional probabilities
- structure learning
- probabilistic logic
- random fields
- hidden variables
- posterior probability
- markov random field
- conditional independence
- machine learning
- gaussian distribution
- document classification
- structured prediction
- probabilistic reasoning
- exact inference
- probabilistic inference
- probability density function
- least squares
- information retrieval